NDA, Post-Production Ad AI | Data science
NDA, Post-Production Ad AI | Data science
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Job Description
On behalf of NDA Post-Production Ad AI SD Solutions is looking for a talented Data science to join our team. In this role you will work closely with large complex datasets to uncover actionable insights and help shape data-driven decisions across the organization. Youll take ownership of data pipelines develop APIs and work in a collaborative sprint-based environment.
Were looking for someone with a builders mindset eager to roll up their sleeves tackle real-world messy data and transform complexity into clear meaningful outcomes.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
- Analyze and process large datasets using Python (NumPy pandas) and SQL.
- Design develop and maintain API-based systems for data integration and delivery.
- Use Google Cloud Platform (GCP) specifically BigQuery for data warehousing and advanced querying.
- Work with spreadsheets (Excel) to support ad-hoc analysis and reporting.
- Utilize Docker containers for deployment and reproducibility.
- Collaborate with cross-functional teams to translate business questions into data requirements and actionable insights.
- Manage tasks and deliverables within a sprint-based workflow ensuring timely delivery and clear documentation.
Requirements:
- 4 years of hands-on experience as a Data Analyst Data Scientist or in a similar data-focused role.
- Proven experience working with large-scale real-world datasets.
- Strong proficiency in Python specifically with NumPy pandas and building API-based systems.
- Solid experience with Google Cloud Platform (GCP) particularly BigQuery.
- Advanced knowledge of SQL for data querying and transformation.
- Proficiency in Excel for data analysis and reporting.
- Experience using Docker for development and deployment environments.
- A proactive curious mindset with a passion for digging deep into data to uncover insights.
- Comfortable working with incomplete or messy data and making sense of it.
- Strong organizational and time management skills; ability to handle tasks and tickets in a sprint-based workflow.
- Excellent communication skills; able to present complex findings in a clear and concise way.
Advantages:
- Background in AdTech or previous experience working in a data-heavy environment.
About the company:
Our client is a fast-growing NDA Post-Production Ad AI platform that automates creative optimization through machine learning. Their technology enables global brands to scale high-performing ads using data-driven automation backed by top-tier investors and accelerators.
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Employment Type
Full-Time
